Tag: Saving Lives

News

Grant for suicide research

We have received $1,494,898 from the American Foundation for Suicide Prevention (AFSP) for the Saving Lives project!

The project aims to improve precision in prediction and prevention of suicide by constructing a national cohort of genetic and environmental data. The ultimate goal is to decrease suicide rates.

Suicide is a tragic event for the individual, the relatives and society. We therefore make efforts to prevent suicide, and a typical way of doing this is to assess suicide risk. Still, studies in psychiatric populations show that current assessments available will classify one out of two suicidal individuals as low risk before an actual death by suicide, while 95% of those classified as high risk will eventually not die by suicide.

Why?

The causes of suicide are complex. Many different factors and life events contribute. To improve prediction, large studies and long follow-up are needed to reach meaningful sample sizes.

Using unique Swedish assets, of genetic and environmental data, and machine learning we have an opportunity a discover environmental and genetic risk factors associated with suicide in order to predict and prevent it.

We thank the AFSP for this grant.

Read more about the Saving lives project here.

News

PhD position in Precision Psychiatry available

We are looking for a new doctoral student to join our computational team!

Read more and apply here.

Do you want to contribute to top quality medical research?

In the research group we work to improve the lives of individuals with psychiatric conditions. A core theme of our research is to develop more accurate prediction models for both the risk of, and also consequences of, psychiatric conditions.

The main scientific objective of your PhD project is to advance knowledge in suicide prediction. Suicide is a catastrophic event for the individual, close relatives, colleagues, and society. Your project is focused on statistical modelling in two different studies. In both studies you will collaborate with colleagues at Oxford University (UK), University of North Carolina Chapel Hill (US) and Sweden.

🎯Research project 1 is a registry study of risk factors for suicide among psychiatric patients that have experienced compulsive mental care.

🎯Research project 2 you will be working with multimodal data (including genetic data) in a nationwide suicide cohort with the purpose of improving present prediction of suicide aiming to derive and validate better risk models for suicide in the total population.

The position is a part of the Rücklab computational team, led by John Wallert.

We look forward to receiving your application!